Data Visualization
In this tutorial, you’ll learn:
TODO:
Prerequisites
Concepts |
Importance |
Notes |
|---|---|---|
Necessary |
Time to learn: x minutes
Introduction
The previous section showcased how to visualize the geometry of unstructured grids by using the Grid data structure. In this section, we will now visualize data variables that reside on unstructured elements
Data Mapping
Data variables that reside on unstructured grids can be mapped to different geometries, which impacts the choice of visualization method.
Face (Cell) Centered
Node (Vertex) Centered
Edge Centered
import uxarray as ux
grid_path = "../../meshfiles/oQU480.grid.nc"
data_path = "../../meshfiles/oQU480.data.nc"
uxds = ux.open_dataset(grid_path, data_path)
Plotting Accessor
uxds["bottomDepth"].plot()
Polygons
uxds["bottomDepth"].plot.polygons()
Points
uxds["bottomDepth"].plot.points()
import cartopy.crs as ccrs
uxds["bottomDepth"].plot(projection=ccrs.NearsidePerspective(-90, 40))
uxds["bottomDepth"].plot(projection=ccrs.Orthographic(-90, 40))